# 2131 search results for "regression"

## Example 2014.8: Estimate power for an interaction, by simulation

June 30, 2014
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In our last entry, we demonstrated how to simulate data from a logistic regression with an interaction between a dichotomous and a continuous covariate. In this entry we show how to use the simulation to estimate the power to detect that interaction. ...

## stone flakes IV

June 29, 2014
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In this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to understand how the stone flakes data fit together. DataData are stone flakes data which I analyzed previous...

## Include promo/activity effect into the prediction (extended ARIMA model with R)

I want to consider an approach of forecasting I really like and frequently use. It allows to include the promo campaigns (or another activities and other variables as well) effect into the prediction of total amount. I will use a fictitious example and data in this post, but it works really good with my real data.  So, you can... Read More »

## Review of Applied Predictive Modeling by Kuhn and Johnson

June 26, 2014
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by Joseph Rickert Predictive Modeling or “Predictive Analytics”, the term that appears to be gaining traction in the business world, is driving the new “Big Data” information economy. Predictably, there is no shortage of material to be found on this subject. Some discussion of predictive modeling is sure to be found in any reasonably technical presentation of business decision...

## Be Careful with Using Model Design in R

June 25, 2014
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In R, useful functions for making design matrices are model.frame and model.matrix. I will to discuss some of the differences of behavior across and within the two functions. I also have an example where I have run into this problme and it caused me to lose time. Using model.frame for a design matrix Whenever I

## Interactive, web-ready ggplot2-style graphics with ggvis

June 25, 2014
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Hadley Wickham's been working on the next-generation update to ggplot2 for a while, and now it's available on CRAN. The ggvis package is completely new, and combines a chaining syntax reminiscent of dplyr with the grammar of graphics concepts of ggplot2. The resulting charts are web-ready in scalable SVG format, and can easily be made interactive thanks to RStudio's...

## Statistics and R at the Intel ISEF Science Fair

June 24, 2014
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by Wayne Smith, Ph.D. California State University, Northridge Editor's note: This post was abstracted from the monthly newsletter of the Southern California Chapter of the ASA. On May 13th and 14th, the Intel International Science and Engineering Fair (Intel ISEF) the world’s largest international pre-college competition, was held at the Los Angeles Convention Center. I was blessed with the...

## stone flakes III

June 22, 2014
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Stone flakes are waste products from the tool making process in the stone age. This is the second post, first post was clustering, second linking to hominid type. The data also contains a more or less continuous age variable, which gives possibili...

## Conditional Distributions from some Elliptical Vectors

June 18, 2014
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$\boldsymbol{X}=(\boldsymbol{X}_1,\boldsymbol{X}_2)$

This winter, in my ACT8595 course, I asked my students (that was some homework) to prove that it was possible to derive the conditional distribution when we have a Student-t random vector (and to get the analytical expression of the later). But before, let us recall a standard result about the Gaussian vector. If  is a Gaussian random vector, i.e. then  has a...

## Upcoming R Training Course in Boston

June 18, 2014
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R for Software Developers and Data Analysts Saturday June 28, 2014 9:00am-4:00pm Microsoft NERD, Cambridge, MA I’ll be presenting a one day professional development workshop on R programming for software developers and data scientists, sponsored by the Greater Boston Chapter of … Continue reading →

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